Symmetric Matrices - Linear Algebra
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Which of the following dimensions cannot be that of a symmetric matrix?
Which of the following dimensions cannot be that of a symmetric matrix?
A symmetric matrix is one that equals its transpose. This means that a symmetric matrix can only be a square matrix: transposing a matrix switches its dimensions, so the dimensions must be equal. Therefore, the option with a non square matrix, 2x3, is the only impossible symmetric matrix.
A symmetric matrix is one that equals its transpose. This means that a symmetric matrix can only be a square matrix: transposing a matrix switches its dimensions, so the dimensions must be equal. Therefore, the option with a non square matrix, 2x3, is the only impossible symmetric matrix.
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Matrix A is a symmetric matrix and is given below. What is x?

Matrix A is a symmetric matrix and is given below. What is x?
A symmetric matrix M must follow the following condition:

We can find the transpose of A and compare to find x:

We can see that x must be equal to 7.
A symmetric matrix M must follow the following condition:
We can find the transpose of A and compare to find x:
We can see that x must be equal to 7.
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Matrix P is given below. Is P a symmetric matrix?

Matrix P is given below. Is P a symmetric matrix?
A matrix M is symmetric if it satisfies the condition:

We can find the transpose of P and see if it satisfies this condition:

Comparing the equations, we can see:

And so we can determine that matrix P is not symmetric.
A matrix M is symmetric if it satisfies the condition:
We can find the transpose of P and see if it satisfies this condition:
Comparing the equations, we can see:
And so we can determine that matrix P is not symmetric.
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Which of the following matricies are symmetric?
Which of the following matricies are symmetric?
A matrix M is symmetric if it satisfies the following condition:

The only matrix that satisfies this condition is:

Reversing the rows and columns of this matrix (finding the transpose) results in the same matrix. Therefore, it is symmetric.
A matrix M is symmetric if it satisfies the following condition:
The only matrix that satisfies this condition is:
Reversing the rows and columns of this matrix (finding the transpose) results in the same matrix. Therefore, it is symmetric.
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True or false:
is a skew-Hermitian matrix.
True or false: is a skew-Hermitian matrix.
is a skew-Hermitian matrix if it is equal to the additive inverse of its conjugate transpose - that is, if

To determine whether this is the case, first, find the transpose of
by exchanging rows with columns in
:


Obtain the conjugate transpose by changing each element to its complex conjugate:

Now find the additive inverse of this by changing each entry to its additive inverse:

, so
is skew-Hermitian.
is a skew-Hermitian matrix if it is equal to the additive inverse of its conjugate transpose - that is, if
To determine whether this is the case, first, find the transpose of by exchanging rows with columns in
:
Obtain the conjugate transpose by changing each element to its complex conjugate:
Now find the additive inverse of this by changing each entry to its additive inverse:
, so
is skew-Hermitian.
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True or false:
is a skew-Hermitian matrix.
True or false: is a skew-Hermitian matrix.
is a skew-Hermitian matrix if it is equal to the additive inverse of its conjugate transpose - that is, if

To determine whether this is the case, first, find the transpose of
by exchanging rows with columns in
:


Obtain the conjugate transpose by changing each element to its complex conjugate:

Now find the additive inverse of this by changing each entry to its additive inverse:

, so
is not skew-Hermitian.
is a skew-Hermitian matrix if it is equal to the additive inverse of its conjugate transpose - that is, if
To determine whether this is the case, first, find the transpose of by exchanging rows with columns in
:
Obtain the conjugate transpose by changing each element to its complex conjugate:
Now find the additive inverse of this by changing each entry to its additive inverse:
, so
is not skew-Hermitian.
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Which matrix is symmetric?
Which matrix is symmetric?
A symmetric matrix is symmetrical across the main diagonal. The numbers in the main diagonal can be anything, but the numbers in corresponding places on either side must be the same. In the correct answer, the matching numbers are the 3's, the -2's, and the 5's.
A symmetric matrix is symmetrical across the main diagonal. The numbers in the main diagonal can be anything, but the numbers in corresponding places on either side must be the same. In the correct answer, the matching numbers are the 3's, the -2's, and the 5's.
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True or false:
is an example of a skew-symmetric matrix.
True or false: is an example of a skew-symmetric matrix.
A square matrix
is defined to be skew-symmetric if its transpose
- the matrix resulting from interchanging its rows and its columns - is equal to its additive inverse; that is, if
.
Interchanging rows and columns, we see that if
,
then
.
can be determined by changing each element in
to its additive inverse:

, since not every element in corresponding positions is equal; in particular, the three elements in the main diagonal differ.
is not a skew-symmetric matrix.
A square matrix is defined to be skew-symmetric if its transpose
- the matrix resulting from interchanging its rows and its columns - is equal to its additive inverse; that is, if
.
Interchanging rows and columns, we see that if
,
then
.
can be determined by changing each element in
to its additive inverse:
, since not every element in corresponding positions is equal; in particular, the three elements in the main diagonal differ.
is not a skew-symmetric matrix.
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Compare your answer with the correct one above
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True or false:
is a skew-Hermitian matrix.
True or false: is a skew-Hermitian matrix.
is a skew-Hermitian matrix if it is equal to the additive inverse of its conjugate transpose - that is, if

To determine whether this is the case, first, find the transpose of
by exchanging rows with columns in
:


Obtain the conjugate transpose by changing each element to its complex conjugate:

Now find the additive inverse of this by changing each entry to its additive inverse:

, so
is skew-Hermitian.
is a skew-Hermitian matrix if it is equal to the additive inverse of its conjugate transpose - that is, if
To determine whether this is the case, first, find the transpose of by exchanging rows with columns in
:
Obtain the conjugate transpose by changing each element to its complex conjugate:
Now find the additive inverse of this by changing each entry to its additive inverse:
, so
is skew-Hermitian.
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Compare your answer with the correct one above
Compare your answer with the correct one above
Compare your answer with the correct one above